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Code- def extract_combined_info(text): words = text.split() info = [] current_info = [] for word in words: if word.isnumeric(): current_info.append(word) elif word[0].isupper() and current_info: current_name = ' '.join(words[words.index(word):]) info.append(current_info + [current_name]) current_info = [] return info def process_text(text): # Remove leading numbers using regular expression trimmed_text = re.sub(r'^\d+\s*', '', text) return trimmed_text def extract_role_name(text): role_name = re.findall(r'\d+\s+([\w\s]+?)\s+[A-Z]', text) return role_name def event_prediction(input_tenant_id,input_ticket_category, input_ticket_type, input_ticket_item, input_ticket_summary, input_ticket_desc): try: user_recommendation_list_tfidf = event_prediction_tfidf(input_tenant_id,input_ticket_category, input_ticket_type, input_ticket_item, input_ticket_summary, input_ticket_desc) print("TFIDF Prediction Done", user_recommendation_list_tfidf) user_recommendation_info = [] for res in user_recommendation_list_tfidf: info = process_text(res) info = extract_combined_info(info) role_name = extract_role_name(res) if info: info[0].append(role_name[0] if role_name else None) user_recommendation_info.append(info[0]) return user_recommendation_info except: user_recommendation_list = [] return user_recommendation_list Output I am getting is- ['983', 'Roshni Gangrade', 'application hcm opm talent profile application data error employee hired chroma recruitment module however org related details captured profile master report well please check fix priorityemployee code employee name nithin r 983 l2 support'] All i want is just- ['983', 'Roshni Gangrade', 'l2 support']
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